File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Removing shadows from Google Earth images

TitleRemoving shadows from Google Earth images
Authors
Issue Date2010
Citation
International Journal of Remote Sensing, 2010, v. 31, n. 6, p. 1379-1389 How to Cite?
AbstractGoogle Earth uses aerial and satellite images from various sources as its background. It is designed to enable every person who owns a computer to easily 'fly' to aerial views of any location on the planet. However, just as with ordinary aerial or satellite images, there inevitably exist shadows in Google Earth images, making some ground objects obscured, even unidentifiable. In this paper, we describe a model we have developed for image shadow removal that uses radiative transfer theory in combination with prior knowledge to compensate for the lost information over shadow areas. We arbitrarily selected six images with severe shadows from Beijing, Shanghai, Hong Kong, Tokyo, New York and San Francisco, respectively, for algorithm testing. Our experimental results show that shadows in images can be considerably suppressed. © 2010 Taylor & Francis.
Persistent Identifierhttp://hdl.handle.net/10722/296662
ISSN
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 0.776
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGuo, Jianhong-
dc.contributor.authorLiang, Lu-
dc.contributor.authorGong, Peng-
dc.date.accessioned2021-02-25T15:16:23Z-
dc.date.available2021-02-25T15:16:23Z-
dc.date.issued2010-
dc.identifier.citationInternational Journal of Remote Sensing, 2010, v. 31, n. 6, p. 1379-1389-
dc.identifier.issn0143-1161-
dc.identifier.urihttp://hdl.handle.net/10722/296662-
dc.description.abstractGoogle Earth uses aerial and satellite images from various sources as its background. It is designed to enable every person who owns a computer to easily 'fly' to aerial views of any location on the planet. However, just as with ordinary aerial or satellite images, there inevitably exist shadows in Google Earth images, making some ground objects obscured, even unidentifiable. In this paper, we describe a model we have developed for image shadow removal that uses radiative transfer theory in combination with prior knowledge to compensate for the lost information over shadow areas. We arbitrarily selected six images with severe shadows from Beijing, Shanghai, Hong Kong, Tokyo, New York and San Francisco, respectively, for algorithm testing. Our experimental results show that shadows in images can be considerably suppressed. © 2010 Taylor & Francis.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Remote Sensing-
dc.titleRemoving shadows from Google Earth images-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/01431160903475316-
dc.identifier.scopuseid_2-s2.0-77951111692-
dc.identifier.volume31-
dc.identifier.issue6-
dc.identifier.spage1379-
dc.identifier.epage1389-
dc.identifier.eissn1366-5901-
dc.identifier.isiWOS:000277389100002-
dc.identifier.issnl0143-1161-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats